Ascolta e leggi

Entra in un mondo di storie

  • Ascolta e leggi quanto vuoi
  • Oltre 400.000 titoli
  • Prova gratis per 14 giorni, poi 9.99€/mese
  • Disdici quando vuoi
  • Ascolta titoli esclusivi e Storytel Original
Prova gratis
Device Banner Block 894x1036
Cover for Hands-On Geospatial Analysis with R and QGIS: A beginner's guide to manipulating, managing, and analyzing spatial data using R and QGIS 3.2.2

Hands-On Geospatial Analysis with R and QGIS: A beginner's guide to manipulating, managing, and analyzing spatial data using R and QGIS 3.2.2

Corsi di lingua
Inglese
Formato
Categoria

Non-fiction

Practical examples with real-world projects in GIS, Remote sensing, Geospatial data management and Analysis using the R programming language

Key Features

• Understand the basics of R and QGIS to work with GIS and remote sensing data

• Learn to manage, manipulate, and analyze spatial data using R and QGIS

• Apply machine learning algorithms to geospatial data using R and QGIS

Book Description

Managing spatial data has always been challenging and it's getting more complex as the size of data increases. Spatial data is actually big data and you need different tools and techniques to work your way around to model and create different workflows. R and QGIS have powerful features that can make this job easier.

This book is your companion for applying machine learning algorithms on GIS and remote sensing data. You'll start by gaining an understanding of the nature of spatial data and installing R and QGIS. Then, you'll learn how to use different R packages to import, export, and visualize data, before doing the same in QGIS. Screenshots are included to ease your understanding.

Moving on, you'll learn about different aspects of managing and analyzing spatial data, before diving into advanced topics. You'll create powerful data visualizations using ggplot2, ggmap, raster, and other packages of R. You'll learn how to use QGIS 3.2.2 to visualize and manage (create, edit, and format) spatial data. Different types of spatial analysis are also covered using R. Finally, you'll work with landslide data from Bangladesh to create a landslide susceptibility map using different machine learning algorithms.

By reading this book, you'll transition from being a beginner to an intermediate user of GIS and remote sensing data in no time.

What you will learn

• Install R and QGIS

• Get familiar with the basics of R programming and QGIS

• Visualize quantitative and qualitative data to create maps

• Find out the basics of raster data and how to use them in R and QGIS

• Perform geoprocessing tasks and automate them using the graphical modeler of QGIS

• Apply different machine learning algorithms on satellite data for landslide susceptibility mapping and prediction

Who this book is for

This book is great for geographers, environmental scientists, statisticians, and every professional who deals with spatial data. If you want to learn how to handle GIS and remote sensing data, then this book is for you. Basic knowledge of R and QGIS would be helpful but is not necessary.

© 2018 Packt Publishing (Ebook): 9781788996983

Data di uscita

Ebook: 30 novembre 2018

Tag

    Potrebbero piacerti

    Scegli il tuo piano

    • Più di 400.000 titoli

    • Kids Mode (accesso sicuro per bambini)

    • Scarica e ascolta offline

    • Disdici quando vuoi

    Basic

    Le tue prime storie, al prezzo più basso.

    6.49 € /mese
    • 1 account

    • 10 ore/mese

    • Disdici quando vuoi

    Prova gratis
    Il più popolare

    Unlimited

    Ascolto illimitato. Dove vuoi, quando vuoi.

    9.99 € /mese
    • 1 account

    • Ascolto illimitato

    • Disdici quando vuoi

    Prova gratis

    Unlimited Annuale

    12 mesi al prezzo di 9. Ascolto illimitato a un prezzo imbattibile.

    89.99 € /anno
    Risparmia il 25%
    • 1 account

    • Ascolto illimitato

    • Disdici quando vuoi

    Prova gratis

    Unlimited Family

    Risparmia con più account. Ognuno con le proprie storie.

    14.99 € /mese
    • 2 account

    • Ascolto illimitato

    • Disdici quando vuoi

    Prova gratis